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01
Discover & Foundation

Explore climate change science, emissions, and sustainability basics.

02
Build & Specialize

Use climate models, carbon tracking, and geoanalytics effectively.

03
Innovate & Apply

Create climate strategies using data, AI, and simulations.

04
Lead & Transform

Shape policy and lead net-zero, adaptive urban transitions.

Climate

Understanding Climate Resilience and Disaster Management

This 8-week advanced course trains professionals in cuttingedge hazard monitoring, IoT, ML, digital twins, blockchain, and vulnerability mapping for robust climate adaptation and disaster response in urban and industrial environments.

Enrol now
Climate

Understanding Climate Resilience and Disaster Management

This 8-week advanced course trains professionals in cuttingedge hazard monitoring, IoT, ML, digital twins, blockchain, and vulnerability mapping for robust climate adaptation and disaster response in urban and industrial environments.

Enrol now
structure

Program Structure

Learning Format

Live Sessions

Duration

8 Week

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4.7

Average Feedback Rating

3

Years of experience

20

government departments partnered

14

digital tools deployed

Key Points

Why Attend This Course

With climate risks increasing, professionals lack exposure to digital twins, blockchain, and real-time risk modeling. This course equips you with hands-on tools to lead data-driven resilience strategies for urban infrastructure and disaster preparedness.

Career Options

Disaster Risk Analyst, Resilience Planner, Climate Data Consultant, Emergency Response Officer, Blockchain Carbon Auditor, Smart Infra Manager, or Urban Climate Tech Advisor in public and private sectors.

Professional Certificate from Synergic Discovery

Course Overview

Week 1
Introduction & Hazard Monitoring Technologies
Live Expert Session:
  • Seismographs, drone surveillance, satellite early warning systems
  • Digital Twins for high-risk infrastructure: turbines, engines, mining equipment
  • Application of ML in real-time diagnosis and climate risk prediction
Virtual Lab Activities:
  • Simulated hazard monitoring using satellite feed mock-ups
  • Predictive failure modeling of a digital twin (turbine example)
Assignment:
  • Write-up: How can digital twins transform disaster risk monitoring in urban utilities?
Week 2
Machine Learning in Climate Adaptation
Live Technical Workshop:
  • Supervised ML for hazard detection
  • Reducing Emissions from Deforestation and Degradation (REDD)
  • CDM (Clean Development Mechanism) processes in industrial systems
Hands-on:
  • Build a mock ML model (Python interface) for predicting equipment failure in disaster-prone zones
  • Evaluate emission offset scenarios
Week 3
Blockchain for Digital Carbon Credit Marketplaces
Expert Lecture:
  • Setting up voluntary carbon credit marketplaces
  • Integration of blockchain in carbon tracking and validation
  • IoT-enabled continuous monitoring of carbon resilience assets
Simulation Workshop:
  • Blockchain sandbox activity: issue, validate, and trade carbon credits
  • Peer activity: simulate a carbon credit flow between urban utilities
Deliverable:
  • Group submission of a blockchain-backed carbon tracking prototype (low code tool)
Week 4
IoT & Robotic Monitoring for Climate Assets
Live Session:
  • Role of mobile and stationary robotic sensors in climate infrastructure
  • IoT network design for resilient asset management
  • Real-world applications in ports, bridges, and power plants
Lab Exercise:
  • Create a sensor deployment strategy for a flood-prone industrial zone
  • Simulate alerts using sample data feed from a robotic sensor
Week 5
Managing Vulnerability & Emergency Response Data
Live Q&A and Simulation:
  • Risk modeling for floods, droughts, and heatwaves
  • Emergency response dispatch systems
  • Hydrometric analysis and infrastructure locational risk
Hands-on Task:
  • Create a flood vulnerability dashboard using provided shapefiles
  • Simulate emergency alerts and dispatch timelines in a mock interface
Assignment:
  • Map-based scenario: Identify most vulnerable zones in a fictional city and suggest monitoring layout
Week 6
Decision Intelligence & Critical Infrastructure Assessment
Expert Session:
  • Actionable intelligence in disaster control rooms
  • Spatial scoring of critical infrastructure (transport, water, hospitals)
  • Integration with real-time urban sensors
Exercise:
  • Conduct criticality assessment for five urban assets
  • Build a dashboard mock-up (Figma/Tableau/Excel or other) with scoring logic
Week 7
Case Studies & Site Exposure
Field Visit (Virtual or Physical):
  • Mumbai Disaster Management Control Room (or alternate city)
  • Live observation of situation room functions, data screens, coordination tools
Debrief Discussion:
  • Lessons learned from actual incidents
  • Analysis of coordination strengths and delays
Activity:
  • Submit a field observation sheet: What technology was used? What data gaps were visible?
Week 8
Integration, Reflection & Project Presentation
Live Final Session:
  • Recap of major technical, policy, and field lessons
  • Peer sharing of insights and implementation ideas
Capstone Project:
  • Develop a disaster monitoring + carbon tracking + infrastructure risk mitigation plan for a fictional or real city
  • Present system flow diagram, data sources, and dashboard mock
Companies

Companies that Hire

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Earn a certificate proudly bearing our name — your mark of academic excellence.

Capstone Projects

Naina City Project: The Biggest Planned City of India

Naina City Project Urbanization is a global phenomenon, with cities rapidly expanding to accommodate growing populations.

Diamond City of India

Surat, known as the ‘Diamond City of India.’ It stands high among the top 10 smart cities in India with its many smart city efforts.
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